Frameworks
LLM application development frameworks such as LangChain and LlamaIndex
NOUVEAULangChain Framework Tutorial
Dive into the LangChain framework and master the core concepts of LLM application development, including Chains, Agents, and Memory.
NOUVEAUPython AI/ML Libraries Collection
A roundup of popular Python libraries for AI and machine learning, including TensorFlow, PyTorch, and Scikit-learn.
NOUVEAUHugging Face Transformers Tutorial
Learn to use the Hugging Face Transformers library for NLP and CV tasks.
NOUVEAULlamaIndex Framework Tutorial
Learn to build RAG applications and knowledge base systems with LlamaIndex.
NOUVEAUPyTorch Deep Learning Framework
A leading open-source deep learning framework known for its dynamic computation graph and ease of use, widely adopted in both research and production.
NOUVEAUvLLM High-Performance Inference Framework
A high-throughput inference and serving framework for large language models that significantly improves deployment efficiency via PagedAttention.
NOUVEAUHaystack RAG Framework
An open-source LLM application framework from deepset, focused on retrieval-augmented generation (RAG) and building production-grade Q&A systems.
NOUVEAULangGraph
A low-level orchestration framework from the LangChain team for building stateful, multi-step agent workflows with fine-grained control.
CrewAI
An open-source framework for orchestrating role-playing, autonomous AI agents that collaborate to complete complex tasks.
NOUVEAUDSPy
A framework for programming, rather than prompting, language models by composing and automatically optimizing modular pipelines.